How the absence of Iran’s new supreme leader is becoming a liability for Tehran - The Japan Times 45%

By Parisa Hafezi0% Angus Mcdowall0%

7/11/2026, 12:03:00 AM

BS Summary: This article contains 20 faulty reasoning types, including Pessimism Bias, Biased Writer Voice, and Framing Effect, with Negativity Bias as the most egregious example at 38.7% saturation with 144 hits. Analysis detected 734 faulty-reasoning hits from 372 analyzed words, generating a BS Score of 47.5% and a BS Rank of 45% (11,808 of 21,176 articles). This article is better (less manipulative) than 55.80% of the article peer group.

How the absence of Iran’s new supreme leader is becoming a liability for Tehran 
Pilgrims visit the shrine of Imam Reza after the funeral of slain Iranian leader Ali Khamenei and his family members, in Mashhad, Iran on Friday. 
By Parisa Hafezi and Angus McDowall 
Dubai  The ⁠whereabouts of Mojtaba Khamenei have been a mystery to Iranians and the rest of the world alike since his appointment as supreme leader a week after the strike that killed his father at the end of February. 
His absence from the main funeral ceremonies for former leader Ayatollah Ali Khamenei was so complete there was not even a written message, leaving people to guess at his plans for Iran at a turbulent time in the Islamic Republic’s 47-year history. 
Installed with the backing of the powerful Revolutionary Guard, he suffered facial disfigurement and other injuries in the strike, ​senior sources say. 
They say he has been making decisions but has not yet been well enough to appear in public. 
Now, after hostilities with the U.S. reignited ‌this week, ‌his role and health are of critical  and growing  concern. 
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広告出稿に関するおといあわせはこちらまで 
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Article reasoning-pattern comparisonThis article: 0.0%Parisa Hafezi: 1.1%The Japan Times: 3.5%Confirmation Bias0.0%This article: 0.0%Parisa Hafezi: 0.2%The Japan Times: 1.9%Anchoring Bias0.0%This article: 10.8%Parisa Hafezi: 4.8%The Japan Times: 4.7%Availability Heuristic10.8%This article: 10.8%Parisa Hafezi: 0.7%The Japan Times: 1.3%Representativeness Heuristic10.8%This article: 0.0%Parisa Hafezi: 0.6%The Japan Times: 0.6%Hindsight Bias0.0%This article: 10.8%Parisa Hafezi: 3.0%The Japan Times: 2.0%Overconfidence Bias10.8%This article: 15.6%Parisa Hafezi: 14.4%The Japan Times: 14.3%Framing Effect15.6%This article: 0.0%Parisa Hafezi: 1.6%The Japan Times: 0.8%Loss Aversion0.0%This article: 0.0%Parisa Hafezi: 0.4%The Japan Times: 1.3%Status Quo Bias0.0%This article: 0.0%Parisa Hafezi: 0.0%The Japan Times: 0.2%Sunk Cost Effect0.0%This article: 7.0%Parisa Hafezi: 4.2%The Japan Times: 4.7%Optimism Bias7.0%This article: 20.2%Parisa Hafezi: 5.5%The Japan Times: 3.3%Pessimism Bias20.2%This article: 38.7%Parisa Hafezi: 20.5%The Japan Times: 11.5%Negativity Bias38.7%This article: 0.0%Parisa Hafezi: 4.0%The Japan Times: 0.8%Self-Serving Bias0.0%This article: 0.0%Parisa Hafezi: 0.0%The Japan Times: 0.9%Fundamental Attribution Error0.0%This article: 0.0%Parisa Hafezi: 0.7%The Japan Times: 0.1%Actor-Observer Bias0.0%This article: 0.0%Parisa Hafezi: 0.7%The Japan Times: 1.1%In-Group Bias0.0%This article: 0.0%Parisa Hafezi: 0.0%The Japan Times: 0.8%Out-Group Homogeneity Bias0.0%This article: 2.2%Parisa Hafezi: 0.1%The Japan Times: 1.5%Halo Effect2.2%This article: 0.0%Parisa Hafezi: 0.0%The Japan Times: 0.1%Horn Effect0.0%This article: 0.0%Parisa Hafezi: 0.0%The Japan Times: 0.0%Dunning-Kruger Effect0.0%This article: 8.6%Parisa Hafezi: 1.1%The Japan Times: 2.2%Recency Bias8.6%This article: 0.0%Parisa Hafezi: 0.3%The Japan Times: 0.9%Primacy Effect0.0%This article: 0.0%Parisa Hafezi: 0.0%The Japan Times: 0.0%Blind-Spot Bias0.0%This article: 0.0%Parisa Hafezi: 0.0%The Japan Times: 0.2%Ad Hominem0.0%This article: 0.0%Parisa Hafezi: 0.0%The Japan Times: 0.1%Straw Man0.0%This article: 10.8%Parisa Hafezi: 2.0%The Japan Times: 5.6%Appeal to Authority10.8%This article: 3.2%Parisa Hafezi: 2.9%The Japan Times: 1.6%False Dilemma3.2%This article: 0.0%Parisa Hafezi: 0.0%The Japan Times: 1.0%Slippery Slope0.0%This article: 0.0%Parisa Hafezi: 0.0%The Japan Times: 0.2%Circular Reasoning0.0%This article: 11.3%Parisa Hafezi: 4.0%The Japan Times: 4.5%Hasty Generalization11.3%This article: 0.0%Parisa Hafezi: 0.9%The Japan Times: 0.3%Red Herring0.0%This article: 2.4%Parisa Hafezi: 0.2%The Japan Times: 0.6%Bandwagon2.4%This article: 0.0%Parisa Hafezi: 2.0%The Japan Times: 3.6%Appeal to Emotion0.0%This article: 0.0%Parisa Hafezi: 0.0%The Japan Times: 0.9%Begging the Question0.0%This article: 2.2%Parisa Hafezi: 4.3%The Japan Times: 4.2%Post Hoc (False Cause)2.2%This article: 0.0%Parisa Hafezi: 0.0%The Japan Times: 0.1%Tu Quoque0.0%This article: 0.0%Parisa Hafezi: 0.0%The Japan Times: 0.5%Burden of Proof0.0%This article: 0.0%Parisa Hafezi: 0.0%The Japan Times: 0.1%Appeal to Nature0.0%This article: 2.2%Parisa Hafezi: 0.1%The Japan Times: 0.2%Composition/Division2.2%This article: 0.0%Parisa Hafezi: 0.0%The Japan Times: 1.0%Anecdotal0.0%This article: 0.0%Parisa Hafezi: 0.0%The Japan Times: 0.0%No True Scotsman0.0%This article: 8.1%Parisa Hafezi: 4.3%The Japan Times: 3.0%Ambiguity (Equivocation)8.1%This article: 0.0%Parisa Hafezi: 0.0%The Japan Times: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Parisa Hafezi: 0.1%The Japan Times: 0.1%Middle Ground0.0%This article: 0.0%Parisa Hafezi: 0.0%The Japan Times: 0.0%Personal Incredulity0.0%This article: 2.2%Parisa Hafezi: 0.1%The Japan Times: 0.1%Special Pleading2.2%This article: 0.0%Parisa Hafezi: 0.0%The Japan Times: 0.0%Genetic Fallacy0.0%This article: 10.8%Parisa Hafezi: 8.0%The Japan Times: 4.5%Unattributed Quote10.8%This article: 0.0%Parisa Hafezi: 2.9%The Japan Times: 1.8%Quote-first Misdirection0.0%This article: 16.9%Parisa Hafezi: 10.2%The Japan Times: 8.9%Biased Writer Voice16.9%This article: 0.0%Parisa Hafezi: 0.0%The Japan Times: 1.6%Indoctrination0.0%This article: 0.0%Parisa Hafezi: 0.6%The Japan Times: 0.6%Politically Left Leaning Bias0.0%This article: 0.0%Parisa Hafezi: 0.0%The Japan Times: 0.2%Politically Right Leaning Bias0.0%This article: 3.0%Parisa Hafezi: 0.4%The Japan Times: 0.5%Attempt to Sell a Product or S…3.0%

372 words analyzed.

Speakers

2speakers4.3%attributed speech356writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 18 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageParisa Hafezi • 6 words • 0.0% coverageWriter's voice • 40 words • 0.0% coverageWriter's voice • 42 words • 100.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 18 words • 100.0% coverageWriter's voice • 21 words • 100.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageJT Media Enterprise Division • 10 words • 100.0% coverageWriter's voice • 1 words • 100.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverage
100%flagged-word coverage
10 attributed words63% of attributed speech78% writer coverage
0%50.0%100.0%Attempt to Sell a Product +99.7 ptsWriter: 0.3%JT Media Enterprise Division: 100.0%100.0%Biased Writer Voice-17.7 ptsWriter: 17.7%JT Media Enterprise Division: 0.0%0.0%Unattributed Quote-11.2 ptsWriter: 11.2%JT Media Enterprise Division: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.